Citations 5
Metabolic Syndrome and Acute Respiratory Distress Syndrome in Hospitalized Patients With COVID-19
Gillet, A.S. , Zu, Yuanhao, Brown, Margo, Pham, Thaidan , Yoshida, Yilin , Douglas, Ivor S. , Moore, Mathew, Tea, Kevin, Wetherbie, Andrew, Stevens, Rachael, Lefante, John J., Shaffer, Jeffrey G. , Armaignac, Donna Lee , Belden, Katherine A. , Kaufman, Margit, Heavner, Smith F. , Danesh, Valerie , Hill, Catherine A. St., Boman, Karen , Bansal, Vikas , Kumar, Vishakha K. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Mesland, Jean-Baptiste , Henin, Pierre , Petre, Hélène, Buelens, Isabelle, Gérard, A , Granado, Rolando Claure-Del, Vega-Terraza, Esdenka, Iturricha-Cáceres, Maria F., Garza, Rubén , Chan, Victoria , Gavidia, Oscar Y., Pachon, Felipe, Tawheed, Ahmed , Pineda, Estela , Guillen, Gabina María Reyes, Soto, Helin Archaga, Lizardo, Ana Karen Vallecillo, Segu, Smitha, Chakraborty, T., Joyce, Epcebha, Kasumalla, Phani Sreeharsha, Vadgaonkar, Girish, Ediga, Rekha, Basety, Shilpa, Dammareddy, Shwetha, Raju, Umamaheswara, Manduva, Janaki, Kolakani, Naresh, Sripathi, Shreeja , Chaitanya, Sheetal, Parameswaran, Sreejith , Parthiban, Magesh, Menu, P., Daga, Mardul Kumar, Agarwal, Munisha , Rohtagi, Ishan, Papani, Sridhar, Kamuram, Mahesh, Agrawal, Kamlesh Kumar , Baghel, Vijendra, Patel, K, Mohan, Surapaneni Krishna, Jyothisree, Ekambaram, Dalili, Nooshin , Nafa, Mohsen, Matsuda, Wataru , Suzuki, Reina , Horikita, Sho, Kodate, Akira, Takahashi, Yuki , Moriki, Koyo, Iwasaki, Yudai , Rodríguez‐Gutiérrez, René , Gonzale, Jose Gerardo, Salcido‐Montenegro, Alejandro , Hassan-Hanga, Fatimah , Gezawa, Abubakar Shehu, Kabir, Halima , Amole, Taiwo Gboluwaga , Haliru, Dalha Gwarzo, Ibrahim, Abdullahi S., Asghar, Muhammad Sohaib , Syed, Mashaal , Naqvi, Syed Anosh Ali, Заболотских, И. 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JAMA Network Open | December 22, 2021 | Volume: 4 | Issue: 12 | Pages: e2140568
20: METABOLIC SYNDROME AND ARDS IN COVID-19
Gillet, A.S. , Zu, Yuanhao, Pham, Thaidan , Brown, Margo, Yoshida, Yilin , Armaignac, Donna Lee , Belden, Katherine A. , Heavner, Smith F. , Hill, Catherine St., Kumar, Vishakha K. , Mauvais‐Jarvis, Franck , Douglas, Ivor S. , Danesh, Valerie , Cheruku, Sreekanth , Deo, Neha , Bansal, Vikas , Walkey, Allan J. , Kashyap, Rahul , Denson, Joshua L.
Critical Care Medicine | December 16, 2021 | Volume: 50 | Issue: 1 | Pages: 10-10
SpO 2 /FiO 2 Ratio on Hospital Admission Is an Indicator of Early Acute Respiratory Distress Syndrome Development Among Patients at Risk
Festić, Emir , Bansal, Vikas , Kor, Daryl J. , (USCIITG–LIPS), US Critical Illness and Injury Trials Group: Lung Injury Prevention Study Investigators, Bajwa, Ednan K. , Douglas, Ivor S. , Frendl, György , Gajic, Ognjen , (USCIITG–LIPS), US Critical Illness and Injury Trials Group: Lung Injury Prevention Study Investigators, Bansal, Vikas
Journal of Intensive Care Medicine | December 20, 2013 | Volume: 30 | Issue: 4 | Pages: 209-216
Purpose: Oxygen saturation to fraction of inspired oxygen ratio (SpO 2 /FiO 2 ) has been validated as a surrogate marker for partial pressure of oxygen to fraction of inspired oxygen ratio among mechanically ventilated patients with acute respiratory distress syndrome (ARDS). The validity of SpO 2 /FiO 2 measurements in predicting ARDS has not been studied. Recently, a Lung Injury Prediction Score (LIPS) has been developed to help identify patients at risk of developing ARDS. Methods: This was a secondary analysis of the LIPS-1 cohort. A multivariate logistic regression included all established variables for LIPS, Acute Physiology and Chronic Health Evaluation 2, age, and comorbid conditions that could affect SpO 2 /FiO 2 . The primary outcome was development of ARDS in the hospital. The secondary outcomes included hospital mortality, hospital day of ARDS development, and hospital day of death. Results: Of the 5584 patients, we evaluated all 4646 with recorded SpO 2 /FiO 2 values. Median SpO 2 /FiO 2 in those who did and did not develop ARDS was 254 (100, 438) and 452 (329, 467), respectively. There was a significant association between SpO 2 /FiO 2 and ARDS ( P ≤ .001). The SpO 2 /FiO 2 was found to be an independent predictor of ARDS in a “dose-dependent” manner; for SpO 2 /FiO 2 < 100—odds ratios (OR) 2.49 (1.69-3.64, P < .001), for SpO 2 /FiO 2 100 < 200—OR 1.75 (1.16-2.58, P = .007), and for SpO 2 /FiO 2 200 < 300—OR 1.62 (1.06-2.42, P = .025). The discriminatory characteristics of the multivariable model and SpO 2 /FiO 2 as a single variable demonstrated area under the curve (AUC) of 0.81 and AUC of 0.74, respectively. Conclusions: The SpO 2 /FiO 2 , measured within the first 6 hours after hospital admission, is an independent indicator of ARDS development among patients at risk.
Contemporary Ventilator Management in Patients With and at Risk of ALI/ARDS
Chang, Steven Y., Dabbagh, Ousama, Gajic, O, Patrawalla, Amee , Elie, Marie‐Carmelle , Talmor, Daniel , Malhotra, Atul , Adesanya, Adebola, Anderson, Harry L, Blum, James M. , Park, Pauline K. , Gong, Michelle N. , (USCIITG-LIPS), on behalf of the United States Critical Illness and Injury Trials Group: Lung Injury Prevention Study Investigators, (USCIITG-LIPS), the United States Critical Illness and Injury Trials Group: Lung Injury Prevention Study Investigators, Talmor, Daniel S, Bender, S Patrick, Garcia, Mauricio, Hou, Peter C, Barry, Jonathan M, Shempp, Iam, Malhotra, Atul, Frendl, Gyorgy, Ahmed, Adil, Gajic, Ognjen, Malinchoc, Michael, Kor, Daryl J, Afessa, Bekele, Cartin-Ceba, Rodrigo, Gong, Michelle Ng, Gentile, Nina T, Stevenson, Karen, Freeman, Brent, Srinivasan, Sujatha, Sevransky, Jonathan, Chang, Steven Y, Patrawalla, Amee, Elie, Carmelle, Hamdani, Irram, Seiden, Jason, Douglas, Ivor, Mikkelsen, Mark, Christie, Jason D, Gaieski, David F, Lanken, Paul, Meyer, Nuala, Sha, Chirag, Park, Pauline K, Harris, Julie, Napolitano, Lena, Raghavendran, Krishnan, Hyzy, Robert C, Blum, James, Watkins, Timothy R, Deem, Steven, Treggiari, Miriam, Adesanya, Adebola, Sadikot, Ruxana, Hoth, J Jason, Yoza, Barbara, Festic, Emir, Kaufman, David, Bajwa, Ednan, Malhotra, Atul, Thompson, B Taylor, Christiani, David C, Cengiz, Melike, Yilmaz, Murat, Anderson, Harry, Tchorz, Kathryn, McCarthy, Mary C, Uddin, David, Iscimen, Remzi, Dabbagh, Ousama, Kallenbach, Nena, Esper, Anette, Martin, Greg, Bajwa, Ednan K. , Douglas, Ivor S. , Frendl, György , Chang, Steven Y. , Anderson, Harry L, (USCIITG-LIPS), on behalf of the United States Critical Illness and Injury Trials Group: Lung Injury Prevention Study Investigators, (USCIITG-LIPS), the United States Critical Illness and Injury Trials Group: Lung Injury Prevention Study Investigators, Talmor, Daniel S, Bender, S Patrick, Garcia, Mauricio, Hou, Peter C, Barry, Jonathan M, Shempp, Iam, Malhotra, Atul, Frendl, Gyorgy, Ahmed, Adil, Gajic, Ognjen, Malinchoc, Michael, Kor, Daryl J, Afessa, Bekele, Cartin-Ceba, Rodrigo, Gong, Michelle Ng, Gentile, Nina T, Stevenson, Karen, Freeman, Brent, Srinivasan, Sujatha, Sevransky, Jonathan, Chang, Steven Y, Patrawalla, Amee, Elie, Carmelle, Hamdani, Irram, Seiden, Jason, Douglas, Ivor, Mikkelsen, Mark, Christie, Jason D, Gaieski, David F, Lanken, Paul, Meyer, Nuala, Sha, Chirag, Park, Pauline K, Harris, Julie, Napolitano, Lena, Raghavendran, Krishnan, Hyzy, Robert C, Blum, James, Watkins, Timothy R, Deem, Steven, Treggiari, Miriam, Adesanya, Adebola, Sadikot, Ruxana, Hoth, J Jason, Yoza, Barbara, Festic, Emir, Kaufman, David, Bajwa, Ednan, Malhotra, Atul, Thompson, B Taylor, Christiani, David C, Cengiz, Melike, Yilmaz, Murat, Anderson, Harry, Tchorz, Kathryn, McCarthy, Mary C, Uddin, David, Iscimen, Remzi, Dabbagh, Ousama, Kallenbach, Nena, Esper, Anette, Martin, Greg
Respiratory Care | April 6, 2013 | Volume: 58 | Issue: 4 | Pages: 578-588
Early Identification of Patients at Risk of Acute Lung Injury: Evaluation of Lung Injury Prediction Score in a Multicenter Cohort Study
Dabbagh, Ousama, Park, Pauline K. , Adesanya, Adebola, Chang, Steven Y. , Hou, Peter C. , Anderson, Harry, Hoth, J. Jason , Gentile, Nina , Gong, Michelle N. , Talmor, Daniel , Bajwa, Ednan K. , Watkins, Timothy R., Festić, Emir , Yılmaz, Murat , İşçimen, Remzi , Kaufman, David A. , Esper, Annette , Sadikot, Ruxana T. , Douglas, Ivor S. , Sevransky, Jonathan, Blum, James M. , Frendl, György , Gajic, Ognjen , Anderson, Harry, Mikkelsen, Mark E.
American Journal of Respiratory and Critical Care Medicine | August 27, 2010 | Volume: 183 | Issue: 4 | Pages: 462-470
Abstract Rationale Accurate, early identification of patients at risk for developing acute lung injury (ALI) provides the opportunity to test and implement secondary prevention strategies. Objectives To determine the frequency and outcome of ALI development in patients at risk and validate a lung injury prediction score (LIPS). Methods In this prospective multicenter observational cohort study, predisposing conditions and risk modifiers predictive of ALI development were identified from routine clinical data available during initial evaluation. The discrimination of the model was assessed with area under receiver operating curve (AUC). The risk of death from ALI was determined after adjustment for severity of illness and predisposing conditions. Measurements and Main Results Twenty-two hospitals enrolled 5,584 patients at risk. ALI developed a median of 2 (interquartile range 1–4) days after initial evaluation in 377 (6.8%; 148 ALI-only, 229 adult respiratory distress syndrome) patients. The frequency of ALI varied according to predisposing conditions (from 3% in pancreatitis to 26% after smoke inhalation). LIPS discriminated patients who developed ALI from those who did not with an AUC of 0.80 (95% confidence interval, 0.78–0.82). When adjusted for severity of illness and predisposing conditions, development of ALI increased the risk of in-hospital death (odds ratio, 4.1; 95% confidence interval, 2.9–5.7). Conclusions ALI occurrence varies according to predisposing conditions and carries an independently poor prognosis. Using routinely available clinical data, LIPS identifies patients at high risk for ALI early in the course of their illness. This model will alert clinicians about the risk of ALI and facilitate testing and implementation of ALI prevention strategies. Clinical trial registered with www.clinicaltrials.gov (NCT00889772).